Data Analysis

What You’ll Learn

Advanced Data Handling & Processing

• Data cleaning, transformation and preprocessing
• Handling large datasets efficiently
• Working with structured and unstructured data

Statistical Analysis & Modeling

• Descriptive and inferential statistics
• Hypothesis testing and probability
• Predictive modeling techniques

Data Visualization & Reporting

• Creating interactive dashboards
• Visual storytelling with data
• Reporting insights for decision-making

Programming for Data Analysis

• Data analysis with Python
• Using libraries like Pandas, NumPy, Matplotlib
• Automating data workflows

Database & Querying

• Advanced SQL queries
• Data extraction and manipulation
• Working with relational databases

Business Intelligence & Tools

• Data-driven decision making
• KPI tracking and reporting
• Business insights generation

Tools & Technologies

• Python (Pandas, NumPy, Matplotlib, Seaborn)
• R Programing
• SQL (MySQL / PostgreSQL)
• Microsoft Excel (Advanced)
• Power BI / Tableau
• Jupyter Notebook

Who This Course Is For

• Beginners with basic knowledge of data
• Analysts looking to upgrade their skills
• Business professionals
• Students and researchers

What You Gain

• Ability to analyze complex datasets
• Strong problem-solving and analytical skills
• Hands-on experience with real-world data
• Skills to work as a professional data analyst

Master data, uncover insights, and make smarter decisions with Specmak Technology.